NOAA's Sea Surface Temperature Products From Operational Geostationary Satellites

Maturi, Eileen; Harris, Anthony M.; Merchant, C. J.; Mittaz, J. P. D.; Potash, Bob; Ma, Wen; Sapper, John

doi:10.1175/2008bams2528.1

Cited by 48 publications

(23 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Maps of monthly averaged SST from the 5.5-kmresolution Geostationary Operational Environmental Satellite (GOES; Maturi et al 2008), the 1-km model solution, and the 3-km solution that provided subtidal boundary conditions are compared in Fig. 2.…”

Section: A Wind-driven Circulationmentioning

confidence: 99%

Spatial and Temporal Variability of the M2 Internal Tide Generation and Propagation on the Oregon Shelf

Osborne

Kurapov

Egbert

et al. 2011

Journal of Physical Oceanography

View full text Add to dashboard Cite

A 1-km-horizontal-resolution model based on the Regional Ocean Modeling System is implemented along the Oregon coast to study average characteristics and intermittency of the M 2 internal tide during summer upwelling. Wind-driven and tidally driven flows are simulated in combination, using realistic bathymetry, atmospheric forcing, and boundary conditions. The study period is April through August 2002, when mooring velocities are available for comparison. Modeled subtidal and tidal variability on the shelf are in good quantitative agreement with moored velocity time series observations. Depth-integrated baroclinic tidal energy flux (EF), its divergence, and topographic energy conversion (TEC) from the barotropic to baroclinic tide are computed from high-pass-filtered, harmonically analyzed model results in a series of 16-day time windows. Model results reveal several ''hot spots'' of intensive TEC on the slope. At these locations, TEC is well balanced by EF divergence. Changes in background stratification and currents associated with winddriven upwelling and downwelling do not appreciably affect TEC hot spot locations but may affect intensity of internal tide generation at those locations. Relatively little internal tide is generated on the shelf. Areas of supercritical slope near the shelf break partially reflect baroclinic tidal energy to deeper water, contributing to spatial variability in seasonally averaged on-shelf EF. Despite significant temporal and spatial variability in the internal tide, the alongshore-integrated flux of internal tide energy onto the Oregon shelf, where it is dissipated, does not vary much with time. Approximately 65% of the M 2 baroclinic tidal energy generated on the slope is dissipated there, and the rest is radiated toward the shelf and interior ocean in roughly equal proportions. An experiment with smoother bathymetry reveals that slope-integrated TEC is more sensitive to bathymetric roughness than on-shelf EF.

show abstract

Section: A Wind-driven Circulationmentioning

confidence: 99%

Spatial and Temporal Variability of the M2 Internal Tide Generation and Propagation on the Oregon Shelf

Osborne

Kurapov

Egbert

et al. 2011

Journal of Physical Oceanography

View full text Add to dashboard Cite

show abstract

“…Since mid-2007, the Bureau has routinely generated SSTskin products from the Japanese geostationary satellite, MTSAT-1R, using the NOAAdeveloped Geostationary Satellite Derived Sea Surface Temperature Processing System (Maturi et al, 2008). The original version of the software (v1) installed at the Bureau in 2007 was modified to accept locally generated NWP fields and further modified to output GHRSST formatted, single scene L2P files.…”

Section: Geostationary Mtsat-1r Skin Sstmentioning

confidence: 99%

“…The contents of the L2P products are described extensively in the GHRSST documentation, specifically the GDS v1.7, which can be found on the GHRSST web site (www.ghrsst-pp.org) and the techniques used to derive the SST and cloud mask are described in Maturi et al (2008).…”

Section: Noaa/nesdis Geostationary Sst L2p Productsmentioning

confidence: 99%

See 1 more Smart Citation

Multi sensor validation and error characteristics of Arctic satellite sea surface temperature observations

Høyer

Karagali

Dybkjær

et al. 2012

Remote Sensing of Environment

View full text Add to dashboard Cite

ESA/ESRIN, via Galileo Galilei, Frascati, Rom, (Italy), Email: craig.donlon@esa .intThe Science Team chair, Craig Donlon, welcomed all participants and reminded the Science Team of the GHRSST aimto provide the best quality SST for short, medium and long-term applications -and on which we can measure the success of GHRSST. The GHRSST phase-1 Pilot Project is complete, the phase-2 international Regional/Global Task Sharing system is built and operating, and GHRSST is now in phase-3: operational delivery of a wealth of SST products and developing Climate Data Records.Progress was presented for the major GHRSST components, and the Space Agencies pointed out their priorities and expressed their continuing support of GHRSST. For instance:-The GHRSST Project Office, funded by ESA and now hosted at the University of Reading, continues to support the GHRSST Science Team for a 10 th year.-The Global Data Assembly Centre (GDAC) which is hosted at NASA JPL Physical Oceanography DAAC (PO.DAAC) now interfaces to 12 Regional Data Assembly Centres (RDACs), and ingests ~8000 files per day (~35 GB). The PO.DAAC and currently holds a total volume of 202 TB. A new web-portal, metadata database, data mining, subsetting and visualisation tools and a GHRSST forum have been established in this year.-The Long Term Stewardship and Reanalysis Facility (LTSRF) is hosted at NOAA NODC; its operations are in constant progress with automatic daily acquisition from the GDAC and archiving. Current archive holdings are over 28 TB . Progress with reanalysis is being made at both the individual sensor level (L2, L3) and with merged L4 products. One of the tasks for 2011/2012 is to develop the SST Climate Variable Data Processing Framework. -The GHRSST Multi-Product Ensemble system (GMPE) carried out a gradient inter-comparison and assessed the suitability of the ensemble spread as an error estimate. The GMPE median is shown to be more accurate than any individual L4 product in the initial comparison against the independent near-surface Argo data. With the SST Quality Monitor (SQUAM), one L3 and 13 L4 GHRSST products have been cross-compared and validated against in-situ data with the iQuam system. Progress at the various contributing RDACs has been achieved through GHRSST XII - Issue: Final Proceedings, EdinburghDate: September 27, 2011 GHRSST Project Office Page 10 of 310 continuing operational processing of SST data streams from multiple, complementary satellite sensors and additionally by providing new or improved data. For example: -New L3 data are now in production by ESA Medspiration and the Australian BOM. -Real-time and reprocessed SST skin from AVHRR and MTSAT is being provided by ABOM. -A new processing chain using physical retrievals accounting for atmospheric moisture and Saharan dust in geostationary products has been implemented at the OSI-SAF. -Navoceano selects the best quality data from the GDAC, and adds error estimates to be used for Navy Coupled Ocean Data Assimilation (NCODA). -EUMETSAT RDAC is now providing very high data qua...

show abstract

“…Chelton and Wentz, 2005;Donlon et al, 2007;Maturi et al, 2008). Multichannel infrared observations essentially began in the 1980s and pioneering uses of the SST derived from them were made in the daily analysis of Clancy et al (1990) and the weekly analysis of Reynolds and Smith (1994).…”

Section: Introductionmentioning

confidence: 99%

A composite look at short‐time‐scale sea‐surface temperature changes in the western North Pacific based on ships and buoys

Danielson

Gyakum

2010

Quart J Royal Meteoro Soc

View full text Add to dashboard Cite

A simple method of interpolating sea-surface temperature (SST) and its measurement method is applied to western North Pacific ship and buoy observations taken between 1970 and 2000. Comparisons are made between the resulting quasidaily in situ analyses and more inclusive analyses based mainly on satellite infrared observations. In terms of analysis differences, spatial correlation, and temporal spectra, the in situ analyses are found to be of moderate quality and are taken to be appropriate for composite diagnoses. This use is illustrated in a novel comparison of short-time-scale SST changes observed during the passage of two groups of midlatitude cold-season cyclones.Transient cooling is found to be preferentially associated with the stronger of the two cyclone groups. The significance of this cooling is quantified and the possibility of oceanic mixed-layer cooling and heat loss from bucket observations is explored. Although the bias in bucket observations is confirmed using composites

show abstract

NOAA's Sea Surface Temperature Products From Operational Geostationary Satellites

Abstract: With continual improvement in retrieval, cloud masking, and validation techniques, high-quality and high-frequency observations from operational geostationary satellites can track the diurnal cycle of SSTs and more.

Cited by 48 publications

References 23 publications

Spatial and Temporal Variability of the M2 Internal Tide Generation and Propagation on the Oregon Shelf

Spatial and Temporal Variability of the M2 Internal Tide Generation and Propagation on the Oregon Shelf

Multi sensor validation and error characteristics of Arctic satellite sea surface temperature observations

A composite look at short‐time‐scale sea‐surface temperature changes in the western North Pacific based on ships and buoys

Contact Info

Product

Resources

About